← Authors

Taylor Berg-Kirkpatrick

100 papers · 2008–2026 · 12 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (12) 🌍 Conference Polyglot (12) 🐝 Cross-Pollinator (13) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer πŸƒ Academic Marathon (17) 🌟 Keyword Trendsetter Combo (5) 🏠 Conference Loyalist (27) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (15) πŸ† Keyword Champion (3) 🀝 Dynamic Duo (19) ❓ The Questioner (3) πŸ—ƒοΈ Keyword Collector (329) πŸ’Ž Century Club (99) πŸ”₯ Unstoppable (16) ⚑ Prolific Year (12) πŸ“ˆ Trend Setter

Conferences

EMNLP (28) ACL (27) NAACL (11) ICLR (10) IJCNLP (6) NIPS (6) ICML (3) AAAI (2) CONLL (2) EACL (2) IJCAI (2) INTERSPEECH (1)

Top co-authors

Dan Klein (19) Graham Neubig (16) Harsh Jhamtani (13) Junxian He (11) FatemehSadat Mireshghallah (9) Julian McAuley (8) Eduard Hovy (7) Kartik Goyal (7) Nikita Srivatsan (6) Greg Durrett (5)

Research topics

Privacy (3) Digital Humanities (1)

Keywords

language model (16) unsupervised learning (11) text generation (9) variational autoencoder (7) latent variable (7) variational inference (5) generative model (5) latent variable model (4) representation learning (4) large language model (4) domain adaptation (4) cross-lingual transfer (3) language modeling (3) metropolis-hastings sampling (3) text style transfer (3) source separation (3) style transfer (3) zero-shot learning (3) text classification (3) machine translation (3)

Papers

From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media EACL 2026
Optimizing Hidden Markov Language Models: An Empirical Study of Reparameterization and Initialization Techniques NAACL 2025
ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models ICLR 2025
Synthesizing Composite Hierarchical Structure from Symbolic Music Corpora IJCAI 2025
Presto! Distilling Steps and Layers for Accelerating Music Generation ICLR 2025
Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation ICML 2025
TeaserGen: Generating Teasers for Long Documentaries ICLR 2025
DITTO: Diffusion Inference-Time T-Optimization for Music Generation ICML 2024
LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP ACL 2024
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis NIPS 2024
Improving Generalization of Speech Separation in Real-World Scenarios: Strategies in Simulation, Optimization, and Evaluation INTERSPEECH 2024
Retrieval Guided Music Captioning via Multimodal Prefixes IJCAI 2024
Aligning Unstructured Paris Agreement Climate Plans with Sustainable Development Goals ACL 2024
Grammar-Aligned Decoding NIPS 2024
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization EMNLP 2024
Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability ICLR 2024
Alt-Text with Context: Improving Accessibility for Images on Twitter ICLR 2024
Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors EACL 2024
Classification of Paleographic Artifacts at Scale: Mitigating Confounds and Distribution Shift in Cuneiform Tablet Dating ACL 2024
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation EMNLP 2023
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval ACL 2023
Membership Inference Attacks against Language Models via Neighbourhood Comparison ACL 2023
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation CONLL 2023
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos ICLR 2023
Contrastive Attention Networks for Attribution of Early Modern Print AAAI 2023
Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN EMNLP 2023
HOLM: Hallucinating Objects with Language Models for Referring Expression Recognition in Partially-Observed Scenes ACL 2022
Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data AAAI 2022
Towards a Unified View of Parameter-Efficient Transfer Learning ICLR 2022
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings ICLR 2022
HeLo: Learning-Free Lookahead Decoding for Conversation Infilling EMNLP 2022
Paraphrastic Representations at Scale EMNLP 2022
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis NAACL 2022
Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context NAACL 2022
Lacuna Reconstruction: Self-Supervised Pre-Training for Low-Resource Historical Document Transcription NAACL 2022
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks EMNLP 2022
Prompt Consistency for Zero-Shot Task Generalization EMNLP 2022
An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models EMNLP 2022
Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models ACL 2022
Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection ACL 2022
Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation ACL 2021
Investigating Robustness of Dialog Models to Popular Figurative Language Constructs EMNLP 2021
Efficient Nearest Neighbor Language Models EMNLP 2021
Scalable Font Reconstruction with Dual Latent Manifolds EMNLP 2021
Truth-Conditional Captions for Time Series Data EMNLP 2021
Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness EMNLP 2021
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories IJCNLP 2021
Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation IJCNLP 2021
Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction IJCNLP 2021
Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels NAACL 2021
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories ACL 2021
Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction ACL 2021
An Empirical Investigation of Contextualized Number Prediction EMNLP 2020
Learning Sparse Prototypes for Text Generation NIPS 2020
A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing ACL 2020
Refer360∘: A Referring Expression Recognition Dataset in 360∘ Images ACL 2020
Phonetic and Visual Priors for Decipherment of Informal Romanization ACL 2020
A Bilingual Generative Transformer for Semantic Sentence Embedding EMNLP 2020
Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions EMNLP 2020
Narrative Text Generation with a Latent Discrete Plan EMNLP 2020
A Probabilistic Formulation of Unsupervised Text Style Transfer ICLR 2020
Learning Rhyming Constraints using Structured Adversaries EMNLP 2019
Learning Rhyming Constraints using Structured Adversaries IJCNLP 2019
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text IJCNLP 2019
Simple and Effective Paraphrastic Similarity from Parallel Translations ACL 2019
A Deep Factorization of Style and Structure in Fonts EMNLP 2019
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity ACL 2019
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections ACL 2019
A Deep Factorization of Style and Structure in Fonts IJCNLP 2019
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text EMNLP 2019
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders ICLR 2019
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search NAACL 2019
Speaker-Follower Models for Vision-and-Language Navigation NIPS 2018
Modeling Online Discourse with Coupled Distributed Topics EMNLP 2018
Learning to Describe Differences Between Pairs of Similar Images EMNLP 2018
Unsupervised Text Style Transfer using Language Models as Discriminators NIPS 2018
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections EMNLP 2018
Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data ACL 2018
Visual Referring Expression Recognition: What Do Systems Actually Learn? NAACL 2018
Automatic Compositor Attribution in the First Folio of Shakespeare ACL 2017
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation EMNLP 2017
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions ICML 2017
Differentiable Scheduled Sampling for Credit Assignment ACL 2017
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints ACL 2016
An Empirical Analysis of Optimization for Max-Margin NLP EMNLP 2015
Unsupervised Code-Switching for Multilingual Historical Document Transcription NAACL 2015
GPU-Friendly Local Regression for Voice Conversion NAACL 2015
Unsupervised Transcription of Piano Music NIPS 2014
Improved Typesetting Models for Historical OCR ACL 2014
Sparser, Better, Faster GPU Parsing ACL 2014
Learning Whom to Trust with MACE NAACL 2013
Unsupervised Transcription of Historical Documents ACL 2013
Decipherment with a Million Random Restarts EMNLP 2013
An Empirical Investigation of Statistical Significance in NLP CONLL 2012
An Empirical Investigation of Statistical Significance in NLP EMNLP 2012
Jointly Learning to Extract and Compress ACL 2011
Simple Effective Decipherment via Combinatorial Optimization EMNLP 2011
Phylogenetic Grammar Induction ACL 2010
Painless Unsupervised Learning with Features NAACL 2010
Learning Bilingual Lexicons from Monolingual Corpora ACL 2008